SpellNew Features in October: Bulk Actions, Label Filtering, Faster Machine Start-up, and More!Start Runs from Repositories with Uncommitted ChangesOct 15, 2019Oct 15, 2019
SpellNew Features in September: Jupyter Updates, Upload to Private Clusters, and a New Machine TypeJupyter UpdatesSep 9, 2019Sep 9, 2019
SpellNew Features in August: Pins and Labels, Filters, and Disk Usage GraphPins and LabelsAug 12, 2019Aug 12, 2019
SpellNew Features in July: Run Spell in Your GCP Account, GitHub Private Repo Selector, Infrastructure…Run Spell in Your GCP AccountJul 15, 2019Jul 15, 2019
SpellReducing the costs of machine learning experiments with Spot Instances and Auto BackupsThe increasing availability of powerful compute resources is one of the main drivers of the rise of machine learning applications. But the…Jul 15, 2019Jul 15, 2019
SpellNew Features in June: Spot Instances, Private GitHub Repos, Runs on the Web, and more!Our new features in June make experiments much cheaper, saving models and run outputs 50% faster, and put more of your work at your…Jun 17, 2019Jun 17, 2019
SpellThe magazine that writes itselfWe asked an AI to write about the future, here’s what it has to say and the steps we took to build it.Jun 12, 2019Jun 12, 2019
SpellNew Features in May: Distributed Training and Simplified Teams PricingAt Spell, we’re always looking for ways to make your machine learning workflow faster and easier. This month, we’re announcing one big new…May 20, 2019May 20, 2019
SpellNew Features in April: Run Spell in your AWS Account, PyTorch Model Serving, and Bayesian…It’s April and spring has come to New York City and Spell. We have a bunch of big new features we’re launching this month. Head to…Apr 22, 2019Apr 22, 2019
SpellBayesian Hyperparameter Search on SpellIn addition to our existing grid and random hyperparameter strategies, Spell is excited to announce support for bayesian search. One of…Apr 17, 2019Apr 17, 2019